AGAnchorGPU
NVIDIAIn stock

Rent A100 SXM GPU

A dedicated NVIDIA A100 SXM with 80 GB HBM2e, 20 vCPU, 160 GB system RAM, and 2 TB local NVMe per card.

Node pricing

One price for the whole period.

The product model allocates each GPU to one account for the complete term. Adding cards to a node applies the catalog volume discount to every card.

NodeTotal VRAM7 days30 daysDiscount
1× A100 SXM80 GB$280$9900%
2× A100 SXM160 GB$532$1,8815%
4× A100 SXM320 GB$1,030$3,6438%
8× A100 SXM640 GB$2,016$7,12810%

Regional inventory

Three regions in the catalog.

DallasTexas · US-TX-1
470cards in catalog
AshburnVirginia · US-VA-1
200cards in catalog
PortlandOregon · US-OR-1
110cards in catalog

Ready-to-run images

Start with your stack installed.

Ubuntu 24.04CUDA readyPyTorch 2.8CUDA 12.8vLLMOpenAI-compatible APIComfyUIFlux & SDXLOllamaLocal model serverJAXCUDA 12Debian 13Minimal

Workload fit

When to consider A100 SXM.

Good starting point

The lower-priced 80 GB baseline for an existing Ampere/CUDA training or batch-inference workflow.

Your catalog configuration pairs 80 GB GPU memory with 160 GB host RAM and 2 TB local NVMe per card.

Before choosing the term

First check that the entire working set fits, including optimizer state or KV cache. A faster architecture does not replace a memory-fit analysis.

Use $280 for a 7-day pilot, or $990 for a 30-day allocation after validating the workload. Options are additional.

Optional resources

Add only what the node needs.

Options are billed for the same fixed term as the GPU node.

Extra NVMe storage1 TB / period

$9 / week $29 / month

Dedicated public IPv4address / period

$3 / week $10 / month

Extra bandwidth10 TB / period

$12 / week $39 / month

Private colocation VLANnode / period

$25 / week $85 / month